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We present an architecture for the integration of shallow and deep NLP components which is aimed at flexible combination of different language technologies for a range of practical current and future applications. In particular, we describe the integration of a high-level HPSG parsing system with different high-performance shallow components, ranging from named entity recognition to chunk parsing and shallow clause recognition. The NLP components enrich a representation of natural language text with layers of new XML meta-information using a single shared data structure, called the text chart. We describe details of the integration methods, and show how information extraction and language checking applications for realworld German text benefit from a deep grammatical analysis.
Hybrid robust deep and shallow semantic processing for creativity support in document production
(2004)
The research performed in the DeepThought project (http://www.project-deepthought.net) aims at demonstrating the potential of deep linguistic processing if added to existing shallow methods that ensure robustness. Classical information retrieval is extended by high precision concept indexing and relation detection. We use this approach to demonstrate the feasibility of three ambitious applications, one of which is a tool for creativity support in document production and collective brainstorming. This application is described in detail in this paper. Common to all three applications, and the basis for their development is a platform for integrated linguistic processing. This platform is based on a generic software architecture that combines multiple NLP components and on robust minimal recursive semantics (RMRS) as a uniform representation language.
In this paper we show an approach to the customization of GermaNet to the German HPSG grammar lexicon developed in the Verbmobil project. GermaNet has a broad coverage of the German base vocabulary and fine-grained semantic classification; while the HPSG grammar lexicon is comparatively small und has a coarse-grained semantic classification. In our approach, we have developed a mapping algorithm to relate the synsets in GermaNet with the semantic sorts in HPSG. The evaluation result shows that this approach is useful for the lexical extension of our deep grammar development to cope with real-world text understanding.
Particles fullfill several distinct central roles in the Japanese language. They can mark arguments as well as adjuncts, can be functional or have semantic functions. There is, however, no straightforward matching from particles to functions, as, e.g., 'ga' can mark the subject, the object or the adjunct of a sentence. Particles can cooccur. Verbal arguments that could be identified by particles can be eliminated in the Japanese sentence. And finally, in spoken language particles are often omitted. A proper treatment of particles is thus necessary to make an analysis of Japanese sentences possible. Our treatment is based on an empirical investigation of 800 dialogues. We set up a type hierarchy of particles motivated by their subcategorizational and modificational behaviour. This type hierarchy is part of the Japanese syntax in VERBMOBIL.
Sprachtechnologie für übersetzungsgerechtes Schreiben am Beispiel Deutsch, Englisch, Japanisch
(2009)
Wir [...] haben uns zur Aufgabe gesetzt, Wege zu finden, wie linguistisch basierte Software den Prozess des Schreibens technischer Dokumentation unterstützen kann. Dabei haben wir einerseits die Schwierigkeiten im Blick, die japanische und deutsche Autoren (und andere Nicht-Muttersprachler des Englischen) beim Schreiben englischer Texte haben. Besonders japanische Autoren haben mit Schwierigkeiten zu kämpfen, weil sie hochkomplexe Ideen in einer Sprache ausdrücken müssen, die von Informationsstandpunkt her sehr unterschiedlich zu ihrer Muttersprache ist. Andererseits untersuchen wir technische Dokumentation, die von Autoren in ihrer Muttersprache geschrieben wird. Obwohl hier die fremdsprachliche Komponente entfällt, ist doch auch erhebliches Verbesserungspotential vorhanden. Das Ziel ist hier, Dokumente verständlich, konsistent und übersetzungsgerecht zu schreiben. Der fundamentale Ansatz in der Entwicklung linguistisch-basierter Software ist, dass gute linguistische Software auf Datenmaterial basiert und sich an den konkreten Zielen der besseren Dokumentation orientiert.
Preferences and defaults for definiteness and number in japanese to german machine translation
(1996)
A significant problem when translating Japanese dialogues into German is the missing information on number and definiteness in the Japanese analysis output. The integration of the search for such information into the transfer process provides an efficient solution. General transfer includes conditions to make it possible to consider external knowledge. Thereby, grammatical and lexical knowledge of the source language, knowledge of lexical restrictions on the target language, domain knowledge and discourse knowledge are accessible.
Die Entwicklung eines individuellen Standards „vom grünen Tisch“ führt selten zu zufriedenstellenden Ergebnissen. Bei der automatischen Prüfung stellt man schnell fest, dass die „ausgedachten“ Regeln einer systematischen Anwendung nicht standhalten. Bei der Implementierung solcher Richtlinien stellt man fest, dass sie oft zu wenig konkret formuliert sind, wie z.B. „formulieren Sie Handlungsanweisungen knapp und präzise“. Wie jedoch kann ein Standard entwickelt werden, der zu einem Unternehmen, seiner Branche und Zielgruppen passt und für die automatische Prüfung implementiert werden kann? Sprachtechnologie hilft effizient bei der Entwicklung individueller Richtlinien. Durch Datenanalyse, Satzcluster und Parametrisierung entsteht ein textspezifischer individueller Standard. Ist damit aber der Gegensatz von Kreativität und Standardisierung aufgehoben?
We present a solution for the representation of Japanese honorifical information in the HPSG framework. Basically, there are three dimensions of honorification. We show that a treatment is necessary that involves both the syntactic and the contextual level of information. The japanese grammar is part of a machine translation system.
The research performed in the DeepThought project aims at demonstrating the potential of deep linguistic processing if combined with shallow methods for robustness. Classical information retrieval is extended by high precision concept indexing and relation detection. On the basis of this approach, the feasibility of three ambitious applications will be demonstrated, namely: precise information extraction for business intelligence; email response management for customer relationship management; creativity support for document production and collective brainstorming. Common to these applications, and the basis for their development is the XML-based, RMRS-enabled core architecture framework that will be described in detail in this paper. The framework is not limited to the applications envisaged in the DeepThought project, but can also be employed e.g. to generate and make use of XML standoff annotation of documents and linguistic corpora, and in general for a wide range of NLP-based applications and research purposes.
In this paper we describe SOBA, a sub-component of the SmartWeb multi-modal dialog system. SOBA is a component for ontologybased information extraction from soccer web pages for automatic population of a knowledge base that can be used for domainspecific question answering. SOBA realizes a tight connection between the ontology, knowledge base and the information extraction component. The originality of SOBA is in the fact that it extracts information from heterogeneous sources such as tabular structures, text and image captions in a semantically integrated way. In particular, it stores extracted information in a knowledge base, and in turn uses the knowledge base to interpret and link newly extracted information with respect to already existing entities.
This demo abstract describes the SmartWeb Ontology-based Information Extraction System (SOBIE). A key feature of SOBIE is that all information is extracted and stored with respect to the SmartWeb ontology. In this way, other components of the systems, which use the same ontology, can access this information in a straightforward way. We will show how information extracted by SOBIE is visualized within its original context, thus enhancing the browsing experience of the end user.
The Deep Linguistic Processing with HPSG Initiative (DELH-IN) provides the infrastructure needed to produce open-source semantic transfer-based machine translation systems. We have made available a prototype Japanese-English machine translation system built from existing resources include parsers, generators, bidirectional grammars and a transfer engine.
While the sortal constraints associated with Japanese numeral classifiers are wellstudied, less attention has been paid to the details of their syntax. We describe an analysis implemented within a broadcoverage HPSG that handles an intricate set of numeral classifier construction types and compositionally relates each to an appropriate semantic representation, using Minimal Recursion Semantics.
Standardisierung ist der bedeutendste Ansatz zu Qualitätssteigerung und Kostensenkung in der Technischen Dokumentation. Es gibt eine Reihe von Standardisierungsansätzen: Modularisierung, Informationsstrukturen, Terminologie, Sprachstrukturen. Dennoch werden diese Ebenen meist getrennt voneinander beschrieben. Wir untersuchen, wie Standardisierungen im Informationsmodell, in der Terminologie und in den sprachlichen Strukturen verknüpft werden und miteinander interagieren.
Der Übersetzungsprozess der Technischen Dokumentation wird zunehmend mit Maschineller Übersetzung (MÜ) unterstützt. Wir blicken zunächst auf die Ausgangstexte und erstellen automatisch prüfbare Regeln, mit denen diese Texte so editiert werden können, dass sie optimale Ergebnisse in der MÜ liefern. Diese Regeln basieren auf Forschungsergebnissen zur Übersetzbarkeit, auf Forschungsergebnissen zu Translation Mismatches in der MÜ und auf Experimenten.
We present an effort for the development of multilingual named entity grammars in a unification-based finite-state formalism (SProUT). Following an extended version of the MUC7 standard, we have developed Named Entity Recognition grammars for German, Chinese, Japanese, French, Spanish, English, and Czech. The grammars recognize person names, organizations, geographical locations, currency, time and date expressions. Subgrammars and gazetteers are shared as much as possible for the grammars of the different languages. Multilingual corpora from the business domain are used for grammar development and evaluation. The annotation format (named entity and other linguistic information) is described. We present an evaluation tool which provides detailed statistics and diagnostics, allows for partial matching of annotations, and supports user-defined mappings between different annotation and grammar output formats.
Es ist eine alte Debatte. Auf der einen Seite steht die althergebrachte Maxime, alles, was wert ist, gesagt zu werden, müsse in jeder Sprache gesagt werden können - umso mehr dann, wenn es sich um die Wissenschaft handelt, die den Anspruch erhebt, universelle Wahrheiten zu erfassen. Demgegenüber steht ein immer wieder anzutreffender Gedanke, dessen wohl inspirierteste Formulierung von Wilhelm von Humboldt stammt, nämlich, dass die Verschiedenheit der Sprachen nicht nur eine von „Schällen und Zeichen“, sondern eine der „Weltansichten selbst“ sei. Thema dieses Vortrags ist die Frage, wo die Wahrheit zwischen diesen scheinbaren Gegensätzen liegt.
The KADoNiS (Karlsruhe Astrophysical Database of Nucleosynthesis in Stars) project is an online
database (www.kadonis.org) for cross sections relevant to the s-process and the p-process.
The first version was an updated sequel to the previous Bao et al. [1] compilations from 1987
and 2000 for (n; g) cross sections relevant to Big Bang and s-process nucleosynthesis. The first
update, KADoNiS v0.2, was published in 2006 [2]. It contained mainly Maxwellian averaged
(n; g) cross sections relevant to the s-process, and some experimental charged particle induced
reaction relevant to the p-process. After that a second update was presented in 2009 [3].
Recently, we started to collect and review all existing experimental data relevant for p-process
nucleosynthesis and to provide a user-friendly database based on the KADoNiS framework. The
p-process part of the KADoNiS database is currently being extended and will include all available
experimental data from (p; g), (p;n), (p;a), (a,g), (a;n) and (a; p) reactions in or close to the
respective Gamow window.
Most texts that deal with Martin tom Dieck’s black-and-white comic "hundert Ansichten der Speicherstadt" (Zürich: Arrache Cœur, 1997, French title: Vortex) claim that it depicts the eponymous warehouse district (Speicherstadt) in Hamburg. As this paper shows, this claim is inaccurate: although the architecture in tom Dieck’s drawings clearly refers to buildings in the warehouse district, the differences in the details are so obvious, that to speak of a straightforward depiction of the Speicherstadt is oversimplifying. After a brief comparison with Christoph Schäfer’s picture book "Die Stadt ist unsere Fabrik" (Leipzig: Spector Books, 2010), the paper concludes with a discussion of the depiction of urban environments in general and in tom Dieck's book in particular.